Sentient Science

Industry leader in advanced prognostic solutions

Expertise in tribology, physics and data science

Award winning solutions in Additive Manufacturing, Aerospace & Defense, Automotive and Wind

DigitalClone and Industrial SaaS Powered by Physics and Data Science

Our applications are built off our platform which uses physics and data science based prognostics to reduce the operational costs of fielded assets by improving sustainability and reliability.

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Our Industry Solutions

Our SaaS Platform Solves Business Problems with Science

DigitalClone technology is transferable to any industrial or transportation application as it is rooted in simulating the failure process (lifecycle) over the lifetime of the asset under its unique operating conditions. By understanding how failure initiates and propagates in the asset, prescriptive life extension actions can be taken to mitigate risk of unplanned failure events.

Aerospace
Industry

Aerospace

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Automotive
Industry

Automotive

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Wind Energy
Industry

Wind Energy

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Company History

Over 20 Years of Research and Development

Since 2001, Sentient Science has been devoted to extending remaining useful life of fielded assets and optimizing new product design and testing. It is this mission that has led to over 20 years of research and$22 million of competitive research and development funding for research and to validate our DigitalClone technology.

Awards

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Year Award by Agency Phase Program Topic Code Award Title
2022 Department of Energy Phase I SBIR C5314a An Integrated Software Package for Studying Structure-Property-Processing Relationships in Material Systems / Topic 14A
           
2022 Department of Defense Phase II SBIR A19140 Physics-Based Modeling of Rolling/Sliding Contact Fatigue Life
           
2020 National Aeronautics and Space Administration Phase II STTR T12 Sentient Science- A Multiscale Modeling Suite for Process and Microstructure Prediction in Metal Additive Manufacturing
           
2020 Department of Defense Phase I STTR N19BT026 Fatigue Prediction for Additive Manufactured (AM) Metallic Components
           
2020 Department of Defense Phase I SBIR A19140 Rolling/Sliding Contact Fatigue Life Physics and Modeling
           
2019 Department of Defense Phase II SBIR A17003 Development of In-Process Monitoring Closed-Loop Feedback for Use in Aluminum Alloy Additive Manufacturing (AM) Applications
           
2018 National Aeronautics and Space Administration Phase I STTR T12 Sentient Science- A Multiscale Modeling Suite for Process and Microstructure Prediction in Metal Additive Manufacturing
           
2018 Department of Defense Phase I STTR N18AT005 Innovative Processing Techniques for Additive Manufacture of 7000 Series Aluminum Alloy Components
           
2017 Department of Defense Phase II SBIR DLA152001 Advanced Manufacturing Technologies
           
2017 Department of Defense Phase II SBIR N152109 Reliability Centered Additive Manufacturing Design Framework
           
2017 Department of Defense Phase I SBIR A17003 Development of In-Process Monitoring Closed-Loop Feedback for Use in Aluminum Alloy Additive Manufacturing (AM) Applications
           
2016 Department of Defense Phase I SBIR N152109 Reliability Centered Additive Manufacturing Design Framework
           
2016 Department of Energy Phase II SBIR 02a Predictive Modeling Tools for Metal-Based Additive Manufacturing
           
2015 Department of Energy Phase I SBIR 02a Apply Modelica Language to Multi-physics Applications on HPC and Cloud Platforms
           
2015 Department of Energy Phase I SBIR 02a Predictive Modeling Tools for Metal-Based Additive Manufacturing
           
2015 Department of Defense Phase I SBIR DLA152001 Advanced Manufacturing Technologies
           
2014 Department of Defense Phase I SBIR AF141075 Improved Design Package for Fracture Mechanics Analysis
           
2014 Department of Defense Phase I STTR N14AT019 Bioelectronic Fusion Sensor System
           
2013 Department of Defense Phase II STTR N11AT007 Modeling to Quantify Improved Durability of Superfinish Gear Processing
           
2013 National Science Foundation Phase II SBIR NM SBIR Phase II: Analytical Modeling and Performance Prediction of Remanufactured Gearbox Components
           
2012 Department of Defense Phase I STTR N12AT010 Developing and validating a model to understand mixed lubrication regions for fluid-film bearings
           
2012 National Science Foundation Phase I SBIR NM SBIR Phase I: Analytical Modeling and Performance Prediction of Remanufactured Gearbox Components
           
2012 Department of Defense Phase I SBIR A12022 Surface Engineering Technologies for Improved Gear Efficiency
           
2012 Department of Defense Phase I SBIR A12076 Advanced Seal Technology for Helicopter Drive System Application
           
2012 Department of Defense Phase I SBIR A12098 Multi-functional Integrated Drive System Sensor(MIDSS) for Rotorcraft
           
2012 Department of Defense Phase II SBIR A10169 Fatigue Crack Initiation Prediction Tool for Rotorcraft Spiral Bevel Gears
           
2011 Department of Defense Phase I STTR N11AT007 Modeling to Quantify Improved Durability of Superfinish Gear Processing
           
2011 Department of Defense Phase II SBIR N093170 Spline Health Prognosis via Physics Based Modeling Coupled with Component Level Tests
           
2011 Department of Defense Phase II SBIR N101006 Prognostic&Health Management (PHM) Technologies for Unmanned Aerial Vehicles (UAV)Optimized PHM System for Unmanned Aerial Vehicles
           
2010 National Aeronautics and Space Administration Phase I SBIR A209 Enhanced Prediction of Gear Tooth Surface Fatigue Life
           
2010 Department of Defense Phase I SBIR A10169 Fatigue Crack Initiation Prediction Tool for Rotorcraft Spiral Bevel Gears
           
2010 Department of Defense Phase II SBIR AF073135 Vibration Analysis of Rotating Plant Machinery
           
2010 Department of Defense Phase I SBIR N101006 Prognostic & Health Management (PHM) Technologies for Unmanned Aerial Vehicles (UAV)Optimized PHM System for Unmanned Aerial Vehicles
           
2010 Department of Defense Phase I SBIR N093170 Spline Health Prognosis via Physics Based Modeling Coupled with Component Level Tests
           
2010 Department of Defense Phase II SBIR N091017 Gearbox Load and Life Simulation Software
           
2009 National Aeronautics and Space Administration Phase I SBIR   Model Updating and Uncertainty Management for Aircraft Prognostic Systems
           
2009 Department of Defense Phase I SBIR N091017 Gearbox Load and Life Simulation Software
           
2008 Department of Defense Phase I SBIR AF073135 Vibration Analysis of Rotating Plant Machinery
           
2008 Department of Defense Phase I SBIR N08122 Advanced Intelligent Web-Based Options to Acquire and Analyze Aircraft Health and Test Data
           
2008 Department of Energy Phase II SBIR 04 Wind Energy Reliability and Cost Reduction:Wind Turbine Health Monitoring Systems
           
2007 Department of Defense Phase I SBIR AF071087 Voice Transformation and Detection
           
2007 Department of Energy Phase I SBIR 04 Wind Energy Reliability and Cost Reduction:Wind Turbine Health Monitoring Systems
           
2007 Department of Defense Phase II SBIR N05094 Embedded Health Monitoring for Propulsion Control System Actuators
           
2007 Department of Defense Phase II SBIR AF06171 Health Management for Gas Turbine Engine Accessory Components
           
2007 Department of Defense Phase II SBIR AF06094 High Performance Cage Sensors for Rolling Element Bearing Health Monitoring
           
2007 Department of Defense Phase II SBIR N06023 Automated Reasoner Technology for Managing Military Aircraft
           
2007 National Aeronautics and Space Administration Phase II SBIR A104 Model Updating in Online Aircraft Prognosis Systems
           
2006 Department of Defense Phase I SBIR N06023 Automated Reasoner Technology for Managing Military Aircraft
           
2006 Department of Defense Phase I STTR N06T007 Aircraft Electrical Power System Diagnostics and Health Management
           
2006 National Aeronautics and Space Administration Phase I SBIR A104 Model Updating in Online Aircraft Prognosis Systems
           
2006 Department of Defense Phase I SBIR N06108 Cognitive Technology for Advanced Maintenance
           
2006 Department of Defense Phase I SBIR AF06171 Health Management for Gas Turbine Engine Accessory Components
           
2006 Department of Defense Phase I SBIR AF06094 High Performance Cage Sensors for Rolling Element Bearing Health Monitoring
           
2005 Department of Defense Phase II STTR MDA04T022 Strategic Monitoring of Spacecraft Mechanical Parts Assemblies
           
2005 Department of Defense Phase I SBIR A04077 Prognostic Wear Prediction Tool for BlackHawk Hanger Bearings
           
2005 Department of Defense Phase II SBIR A04077 Prognostic Wear Prediction Tool for BlackHawk Hanger Bearings
           
2005 Department of Defense Phase II SBIR N04028 Validation Tools and Data for PHM Technologies
           
2005 Department of Defense Phase I SBIR AF05188 Methodology for the Real-Time Management of Aero Gas Turbine Engine Usage Data
           
2005 Department of Defense Phase I SBIR N05094 Embedded Health Monitoring for Propulsion Control System Actuators
           
2005 Department of Defense Phase I SBIR N05104 Effective Diagnostics for Dynamic Operating Environments
           
2005 Department of Defense Phase I SBIR N05089 Innovative Materials/Concepts for Grease Lubricated Bearings
           
2004 Department of Defense Phase II SBIR N02195 Fault-to-Failure Progression Modeling of Propulsion System and Drive Train Bearings for Prognostic and Useful Performance Life Remaining Predictions
           
2004 Department of Defense Phase I STTR MDA04T022 Strategic Monitoring of Spacecraft Mechanical Parts Assemblies
           
2004 Department of Defense Phase I SBIR N04028 Validation Tools and Data for PHM Technologies
           
2002 Department of Defense Phase I SBIR   Fault-to-Failure Progression Modeling of Propulsion System and Drive Train Bearings for Prognostic and Useful Performance Life Remaining Predictions
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